摘要
载人航天器的手控交会对接因为有航天员的参与而显得十分复杂,须开展交会对接过程中人的认知行为建模,以确保任务的成功率和控制的灵活性。通过对手控交会对接任务认知行为和操作绩效的分析,基于一种QN-ACTR认知体系框架,提出了将认知行为融入于人机交互的建模方法;建立了符合手控交会对接操作的认知行为模型;进行了模型进行有效性仿真验证;表明了此建模方法可以将人的行为绩效视为人机系统绩效的补充并进行交互的整体分析。
Manual Rendezvous and docking( RVD) of manned spacecraft is very complex due to the involvement of astronauts. To ensure the mission success and the control flexibility,the modeling of the human cognition and behavior in RVD is necessary. According to the analysis of the cognition behavior and performance in manual RVD,a computational modeling method that could integrate cognitive behavior into the man-machine interaction system was proposed based on the QN-ACTR cognitive architecture. Then the effectiveness of the model was verified by simulation. It is demonstrated that this modeling method can be used to carry out the integrated analysis of the interaction performance with the human performance as the supplement to the man-machine system performance.
出处
《载人航天》
CSCD
2016年第3期386-393,共8页
Manned Spaceflight
基金
国家重点基础研究发展计划资助(2011CB711000)
关键词
交会对接
QN-ACTR
认知建模
行为绩效
rendezvous and docking
QN-ACTR
cognitive modelling
human performance
